الفهرس | Only 14 pages are availabe for public view |
Abstract A precision model of a battery charge equalization controller (BCEC) is developed in this thesis to control a series-connected Li-ion battery with a number of cells (n). The BCEC’s main task is to manage each cell individually by monitoring and balancing all cells by charging the over-discharged cell or discharging the overcharged one. An intelligent fuzzy logic controller (FLC) and a single sliding mode controller (SSMC) are evolved to activate bidirectional cell switches and regulate a chopper circuit’s direct current (DC-DC flyback converter) with PWM generation. The model can be implemented in electric vehicle (E.V.) applications to get benefit from the Li-ion battery. It consists of individual models of an E.V., cells of Li-ion battery, a fly-back converter, and a charge equalization controller for charging and discharging are integrated with n series-connected cells of Li-ion battery. The proposed schemes can be described as: A single sliding mode-based charge equalization controller for a battery management system performance enhancement, and an intelligent fuzzy logic-based charge equalization controller for a battery management system performance enhancement. The proposed schemes have achieved enhanced performance with balancing the Li-ion cells as the state of charge difference between cells is maintained to be 0.1% while maintaining the battery operation with a safe region. The BCEC is compared with the existing controllers based on efficiency, power losses, performance, and cost and has achieved better results. A comparison between the proposed scheme, which is based on SSMC with the mean difference approach have illustrated the effectiveness and superiority of the proposed scheme. Moreover, another comparison between the two proposed schemes has illustrated the effectiveness and superiority of the FLC algorithm over the SSMC one. |